import numpy as np
import cv2


face_cascade = cv2.CascadeClassifier("/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("/haarcascade_eye_tree_eyeglasses.xml")

img = cv2.imread("/2.jpg")
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray,1.1,5,cv2.CASCADE_SCALE_IMAGE,(50,50),(100,100))

if len(faces)>0:
    for faceRect in faces:
        x,y,w,h = faceRect
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2,8,0)

        roi_gray = gray[y:y+h,x:x+w]
        roi_color = img[y:y+h,x:x+w]

        eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2))
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)

cv2.imshow("img",img)
cv2.waitKey(0)
